Ana et al. divided nudges into 23 mechanisms and positioned all of them into one graph along two axes: mode of thinking engaged and transparency of nudge (see Fig. 1) [1]}. On the basis of the rules for selecting factors mentioned in section 3.1, we focused only on 2 mechanisms, biasing memory and multiple views, from among the 23 mechanisms. The method of biasing memory is called the peak-end rule, suggesting that our memory of past experiences is shaped by two moments: their most intense (i.e., peak) and the last episode (i.e., end) [2]}. Andy et al. found that manipulating only the peak or the end of a series of task did not significantly change preference; both the peak and end lead to significant differences in preference [3]}. Thus, we hypothesize that a video scenario that puts the most impressive part at the end of a video (peak-end positive) performs better than one that does not put it at the end (peak-end negative). The other factor is called providing multiple viewpoints, which means collecting different points of view (two or more than two views) for an object or event and offering an unbiased clustered overview. It also shows good performance at avoiding confirmation bias [4]}, which leads us to pay little attention to or reject information that contradicts our reasoning for making better decisions. For the factor of multiple viewpoints, we consider that, by providing multiple viewpoints to participants, they will more likely perform pro-social behavior, which here in our study is altruistic behavior, than in the case of showing only one viewpoint in a video.
